@InProceedings{sahoo-EtAl:2020:LREC,
  author    = {Sahoo, Sovan Kumar  and  Saha, Saumajit  and  Ekbal, Asif  and  Bhattacharyya, Pushpak},
  title     = {A Platform for Event Extraction in Hindi},
  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},
  month          = {May},
  year           = {2020},
  address        = {Marseille, France},
  publisher      = {European Language Resources Association},
  pages     = {2234--2243},
  abstract  = {Event Extraction is an important task in the widespread field of Natural Language Processing (NLP). Though this task is adequately addressed in English with sufficient resources, we are unaware of any benchmark setup in Indian languages. Hindi is one of the most widely spoken languages in the world. In this paper, we present an Event Extraction framework for Hindi language by creating an annotated resource for benchmarking, and then developing deep learning based models to set as the baselines. We crawl more than seventeen hundred disaster related Hindi news articles from the various news sources. We also develop deep learning based models for Event Trigger Detection and Classification, Argument Detection and Classification and Event-Argument Linking.},
  url       = {https://www.aclweb.org/anthology/2020.lrec-1.272}
}